Computer Vision News 20 We pre-train neural networks to perform the same task, like segmentation, classification, or detection on a different anatomy. Or pre-train only a part of the neural network layers by training to perform a different task. Also, unsupervised learning can be used very efficiently for pre-training. This is just a part of the options that allow us to significantly increase the AI modules’ accuracy, generalization and robustness while working on limited datasets. Next month, we will learn about more mitigation techniques by RSIP Vision for the challenges of data quantity and availability. Challenges in Medical AI Development
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